reefs_bleaching.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Site_ID</th>\n",
       "      <th>Sample_ID</th>\n",
       "      <th>Data_Source</th>\n",
       "      <th>Latitude_Degrees</th>\n",
       "      <th>Longitude_Degrees</th>\n",
       "      <th>Ocean_Name</th>\n",
       "      <th>Reef_ID</th>\n",
       "      <th>Realm_Name</th>\n",
       "      <th>Ecoregion_Name</th>\n",
       "      <th>Country_Name</th>\n",
       "      <th>...</th>\n",
       "      <th>TSA_FrequencyMax</th>\n",
       "      <th>TSA_FrequencyMean</th>\n",
       "      <th>TSA_DHW</th>\n",
       "      <th>TSA_DHW_Standard_Deviation</th>\n",
       "      <th>TSA_DHWMax</th>\n",
       "      <th>TSA_DHWMean</th>\n",
       "      <th>Date</th>\n",
       "      <th>Site_Comments</th>\n",
       "      <th>Sample_Comments</th>\n",
       "      <th>Bleaching_Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2501</td>\n",
       "      <td>10324336</td>\n",
       "      <td>Donner</td>\n",
       "      <td>23.1630</td>\n",
       "      <td>-82.5260</td>\n",
       "      <td>Atlantic</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>Tropical Atlantic</td>\n",
       "      <td>Cuba and Cayman Islands</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.74</td>\n",
       "      <td>7.25</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2005-09-15</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3467</td>\n",
       "      <td>10324754</td>\n",
       "      <td>Donner</td>\n",
       "      <td>-17.5750</td>\n",
       "      <td>-149.7833</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>Eastern Indo-Pacific</td>\n",
       "      <td>Society Islands French Polynesia</td>\n",
       "      <td>French Polynesia</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.67</td>\n",
       "      <td>4.65</td>\n",
       "      <td>0.19</td>\n",
       "      <td>1991-03-15</td>\n",
       "      <td>The bleaching does not  appear to have gained ...</td>\n",
       "      <td>The bleaching does not  appear to have gained ...</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1794</td>\n",
       "      <td>10323866</td>\n",
       "      <td>Donner</td>\n",
       "      <td>18.3690</td>\n",
       "      <td>-64.5640</td>\n",
       "      <td>Atlantic</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>Tropical Atlantic</td>\n",
       "      <td>Hispaniola Puerto Rico and Lesser Antilles</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.04</td>\n",
       "      <td>11.66</td>\n",
       "      <td>0.26</td>\n",
       "      <td>2006-01-15</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8647</td>\n",
       "      <td>10328028</td>\n",
       "      <td>Donner</td>\n",
       "      <td>17.7600</td>\n",
       "      <td>-64.5680</td>\n",
       "      <td>Atlantic</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>Tropical Atlantic</td>\n",
       "      <td>Hispaniola Puerto Rico and Lesser Antilles</td>\n",
       "      <td>United States</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>5.64</td>\n",
       "      <td>0.20</td>\n",
       "      <td>2006-04-15</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8648</td>\n",
       "      <td>10328029</td>\n",
       "      <td>Donner</td>\n",
       "      <td>17.7690</td>\n",
       "      <td>-64.5830</td>\n",
       "      <td>Atlantic</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>Tropical Atlantic</td>\n",
       "      <td>Hispaniola Puerto Rico and Lesser Antilles</td>\n",
       "      <td>United States</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.92</td>\n",
       "      <td>6.89</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2006-04-15</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41356</th>\n",
       "      <td>15446</td>\n",
       "      <td>10310562</td>\n",
       "      <td>Reef_Check</td>\n",
       "      <td>-8.3651</td>\n",
       "      <td>116.0844</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>116.5.3.9E.8.21.54.4S</td>\n",
       "      <td>Central Indo-Pacific</td>\n",
       "      <td>Lesser Sunda Islands and Savu Sea</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.09</td>\n",
       "      <td>1.49</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.63</td>\n",
       "      <td>2019-05-28</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41357</th>\n",
       "      <td>15456</td>\n",
       "      <td>10310527</td>\n",
       "      <td>Reef_Check</td>\n",
       "      <td>-8.3473</td>\n",
       "      <td>116.0503</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>116.3.1.1E.8.20.50.2S</td>\n",
       "      <td>Central Indo-Pacific</td>\n",
       "      <td>Lesser Sunda Islands and Savu Sea</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.29</td>\n",
       "      <td>8.01</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2019-05-16</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41358</th>\n",
       "      <td>15456</td>\n",
       "      <td>10310527</td>\n",
       "      <td>Reef_Check</td>\n",
       "      <td>-8.3473</td>\n",
       "      <td>116.0503</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>116.3.1.1E.8.20.50.2S</td>\n",
       "      <td>Central Indo-Pacific</td>\n",
       "      <td>Lesser Sunda Islands and Savu Sea</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.29</td>\n",
       "      <td>8.01</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2019-05-16</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41359</th>\n",
       "      <td>15457</td>\n",
       "      <td>10310536</td>\n",
       "      <td>Reef_Check</td>\n",
       "      <td>-8.3445</td>\n",
       "      <td>116.0629</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>116.3.46.548E.8.20.40.236S</td>\n",
       "      <td>Central Indo-Pacific</td>\n",
       "      <td>Lesser Sunda Islands and Savu Sea</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.29</td>\n",
       "      <td>8.01</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2019-05-29</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41360</th>\n",
       "      <td>15457</td>\n",
       "      <td>10310536</td>\n",
       "      <td>Reef_Check</td>\n",
       "      <td>-8.3445</td>\n",
       "      <td>116.0629</td>\n",
       "      <td>Pacific</td>\n",
       "      <td>116.3.46.548E.8.20.40.236S</td>\n",
       "      <td>Central Indo-Pacific</td>\n",
       "      <td>Lesser Sunda Islands and Savu Sea</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.29</td>\n",
       "      <td>8.01</td>\n",
       "      <td>0.65</td>\n",
       "      <td>2019-05-29</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "      <td>-9999.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41361 rows × 62 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Site_ID  Sample_ID Data_Source  Latitude_Degrees  Longitude_Degrees  \\\n",
       "0         2501   10324336      Donner           23.1630           -82.5260   \n",
       "1         3467   10324754      Donner          -17.5750          -149.7833   \n",
       "2         1794   10323866      Donner           18.3690           -64.5640   \n",
       "3         8647   10328028      Donner           17.7600           -64.5680   \n",
       "4         8648   10328029      Donner           17.7690           -64.5830   \n",
       "...        ...        ...         ...               ...                ...   \n",
       "41356    15446   10310562  Reef_Check           -8.3651           116.0844   \n",
       "41357    15456   10310527  Reef_Check           -8.3473           116.0503   \n",
       "41358    15456   10310527  Reef_Check           -8.3473           116.0503   \n",
       "41359    15457   10310536  Reef_Check           -8.3445           116.0629   \n",
       "41360    15457   10310536  Reef_Check           -8.3445           116.0629   \n",
       "\n",
       "      Ocean_Name                     Reef_ID            Realm_Name  \\\n",
       "0       Atlantic                     -9999.0     Tropical Atlantic   \n",
       "1        Pacific                     -9999.0  Eastern Indo-Pacific   \n",
       "2       Atlantic                     -9999.0     Tropical Atlantic   \n",
       "3       Atlantic                     -9999.0     Tropical Atlantic   \n",
       "4       Atlantic                     -9999.0     Tropical Atlantic   \n",
       "...          ...                         ...                   ...   \n",
       "41356    Pacific       116.5.3.9E.8.21.54.4S  Central Indo-Pacific   \n",
       "41357    Pacific       116.3.1.1E.8.20.50.2S  Central Indo-Pacific   \n",
       "41358    Pacific       116.3.1.1E.8.20.50.2S  Central Indo-Pacific   \n",
       "41359    Pacific  116.3.46.548E.8.20.40.236S  Central Indo-Pacific   \n",
       "41360    Pacific  116.3.46.548E.8.20.40.236S  Central Indo-Pacific   \n",
       "\n",
       "                                   Ecoregion_Name      Country_Name  ...  \\\n",
       "0                         Cuba and Cayman Islands              Cuba  ...   \n",
       "1                Society Islands French Polynesia  French Polynesia  ...   \n",
       "2      Hispaniola Puerto Rico and Lesser Antilles    United Kingdom  ...   \n",
       "3      Hispaniola Puerto Rico and Lesser Antilles     United States  ...   \n",
       "4      Hispaniola Puerto Rico and Lesser Antilles     United States  ...   \n",
       "...                                           ...               ...  ...   \n",
       "41356           Lesser Sunda Islands and Savu Sea         Indonesia  ...   \n",
       "41357           Lesser Sunda Islands and Savu Sea         Indonesia  ...   \n",
       "41358           Lesser Sunda Islands and Savu Sea         Indonesia  ...   \n",
       "41359           Lesser Sunda Islands and Savu Sea         Indonesia  ...   \n",
       "41360           Lesser Sunda Islands and Savu Sea         Indonesia  ...   \n",
       "\n",
       "      TSA_FrequencyMax TSA_FrequencyMean TSA_DHW  TSA_DHW_Standard_Deviation  \\\n",
       "0                  5.0               0.0    0.00                        0.74   \n",
       "1                  4.0               0.0    0.26                        0.67   \n",
       "2                  7.0               0.0    0.00                        1.04   \n",
       "3                  4.0               0.0    0.00                        0.75   \n",
       "4                  5.0               0.0    0.00                        0.92   \n",
       "...                ...               ...     ...                         ...   \n",
       "41356              8.0               1.0    2.09                        1.49   \n",
       "41357              8.0               1.0    2.00                        1.29   \n",
       "41358              8.0               1.0    2.00                        1.29   \n",
       "41359              8.0               1.0    2.00                        1.29   \n",
       "41360              8.0               1.0    2.00                        1.29   \n",
       "\n",
       "      TSA_DHWMax  TSA_DHWMean        Date  \\\n",
       "0           7.25         0.18  2005-09-15   \n",
       "1           4.65         0.19  1991-03-15   \n",
       "2          11.66         0.26  2006-01-15   \n",
       "3           5.64         0.20  2006-04-15   \n",
       "4           6.89         0.25  2006-04-15   \n",
       "...          ...          ...         ...   \n",
       "41356       9.00         0.63  2019-05-28   \n",
       "41357       8.01         0.65  2019-05-16   \n",
       "41358       8.01         0.65  2019-05-16   \n",
       "41359       8.01         0.65  2019-05-29   \n",
       "41360       8.01         0.65  2019-05-29   \n",
       "\n",
       "                                           Site_Comments  \\\n",
       "0                                                -9999.0   \n",
       "1      The bleaching does not  appear to have gained ...   \n",
       "2                                                -9999.0   \n",
       "3                                                -9999.0   \n",
       "4                                                -9999.0   \n",
       "...                                                  ...   \n",
       "41356                                            -9999.0   \n",
       "41357                                            -9999.0   \n",
       "41358                                            -9999.0   \n",
       "41359                                            -9999.0   \n",
       "41360                                            -9999.0   \n",
       "\n",
       "                                         Sample_Comments  Bleaching_Comments  \n",
       "0                                                -9999.0             -9999.0  \n",
       "1      The bleaching does not  appear to have gained ...             -9999.0  \n",
       "2                                                -9999.0             -9999.0  \n",
       "3                                                -9999.0             -9999.0  \n",
       "4                                                -9999.0             -9999.0  \n",
       "...                                                  ...                 ...  \n",
       "41356                                            -9999.0             -9999.0  \n",
       "41357                                            -9999.0             -9999.0  \n",
       "41358                                            -9999.0             -9999.0  \n",
       "41359                                            -9999.0             -9999.0  \n",
       "41360                                            -9999.0             -9999.0  \n",
       "\n",
       "[41361 rows x 62 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "\n",
    "FILE_NAME = 'global_bleaching_environmental.csv'\n",
    "DATA_PATH = 'data/'\n",
    "def load_data(data_path=DATA_PATH, file_name=FILE_NAME):\n",
    "    csv_path = os.path.join(data_path, file_name)\n",
    "    return pd.read_csv(csv_path, skiprows=6)\n",
    "\n",
    "load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Site_ID              41361\n",
       "Sample_ID            41361\n",
       "Data_Source          41361\n",
       "Latitude_Degrees     41361\n",
       "Longitude_Degrees    41361\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reefs_data = load_data()\n",
    "reefs_data.count().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Site_ID              22525\n",
       "Sample_ID            22525\n",
       "Data_Source          22525\n",
       "Latitude_Degrees     22525\n",
       "Longitude_Degrees    22525\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#data cleaning\n",
    "reefs_data.drop(reefs_data.index[reefs_data['Distance_to_Shore'] == -9999.000000], inplace = True)\n",
    "reefs_data.drop(reefs_data.index[reefs_data['Turbidity'] == -9999.000000], inplace = True)\n",
    "reefs_data.drop(reefs_data.index[reefs_data['Depth_m'] == -9999.000000], inplace = True)\n",
    "reefs_data.drop(reefs_data.index[reefs_data['Percent_Cover'] == -9999.000000], inplace = True)\n",
    "reefs_data.drop(reefs_data.index[reefs_data['Percent_Bleaching'] == -9999.000000], inplace = True)\n",
    "reefs_data.drop(reefs_data.index[reefs_data['Temperature_Kelvin'] == -9999.000000], inplace = True)\n",
    "reefs_data.drop(reefs_data.index[reefs_data['Temperature_Mean'] == -9999.000000], inplace = True)\n",
    "reefs_data.drop(reefs_data.index[reefs_data['SSTA_Minimum'] == -9999.000000], inplace = True)\n",
    "\n",
    "    \n",
    "reefs_data.count().head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pacific         15137\n",
       "Atlantic         4164\n",
       "Indian           1860\n",
       "Red Sea          1028\n",
       "Arabian Gulf      336\n",
       "Name: Ocean_Name, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reefs_data['Ocean_Name'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Site_ID</th>\n",
       "      <th>Sample_ID</th>\n",
       "      <th>Latitude_Degrees</th>\n",
       "      <th>Longitude_Degrees</th>\n",
       "      <th>Distance_to_Shore</th>\n",
       "      <th>Turbidity</th>\n",
       "      <th>Cyclone_Frequency</th>\n",
       "      <th>Date_Day</th>\n",
       "      <th>Date_Month</th>\n",
       "      <th>Date_Year</th>\n",
       "      <th>Depth_m</th>\n",
       "      <th>Percent_Cover</th>\n",
       "      <th>Percent_Bleaching</th>\n",
       "      <th>ClimSST</th>\n",
       "      <th>Temperature_Kelvin</th>\n",
       "      <th>Temperature_Mean</th>\n",
       "      <th>Temperature_Minimum</th>\n",
       "      <th>Temperature_Maximum</th>\n",
       "      <th>Temperature_Kelvin_Standard_Deviation</th>\n",
       "      <th>Windspeed</th>\n",
       "      <th>SSTA</th>\n",
       "      <th>SSTA_Standard_Deviation</th>\n",
       "      <th>SSTA_Mean</th>\n",
       "      <th>SSTA_Minimum</th>\n",
       "      <th>SSTA_Maximum</th>\n",
       "      <th>SSTA_Frequency</th>\n",
       "      <th>SSTA_Frequency_Standard_Deviation</th>\n",
       "      <th>SSTA_FrequencyMax</th>\n",
       "      <th>SSTA_FrequencyMean</th>\n",
       "      <th>SSTA_DHW</th>\n",
       "      <th>SSTA_DHW_Standard_Deviation</th>\n",
       "      <th>SSTA_DHWMax</th>\n",
       "      <th>SSTA_DHWMean</th>\n",
       "      <th>TSA</th>\n",
       "      <th>TSA_Standard_Deviation</th>\n",
       "      <th>TSA_Minimum</th>\n",
       "      <th>TSA_Maximum</th>\n",
       "      <th>TSA_Mean</th>\n",
       "      <th>TSA_Frequency</th>\n",
       "      <th>TSA_Frequency_Standard_Deviation</th>\n",
       "      <th>TSA_FrequencyMax</th>\n",
       "      <th>TSA_FrequencyMean</th>\n",
       "      <th>TSA_DHW</th>\n",
       "      <th>TSA_DHW_Standard_Deviation</th>\n",
       "      <th>TSA_DHWMax</th>\n",
       "      <th>TSA_DHWMean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>22525.000000</td>\n",
       "      <td>2.252500e+04</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.0</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "      <td>22525.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5446.277248</td>\n",
       "      <td>1.031462e+07</td>\n",
       "      <td>3.900452</td>\n",
       "      <td>61.899487</td>\n",
       "      <td>2832.318038</td>\n",
       "      <td>0.078797</td>\n",
       "      <td>51.193801</td>\n",
       "      <td>16.104417</td>\n",
       "      <td>6.835694</td>\n",
       "      <td>2010.815627</td>\n",
       "      <td>6.505594</td>\n",
       "      <td>19.671852</td>\n",
       "      <td>3.049933</td>\n",
       "      <td>294.730906</td>\n",
       "      <td>301.261872</td>\n",
       "      <td>300.599256</td>\n",
       "      <td>296.101154</td>\n",
       "      <td>305.175473</td>\n",
       "      <td>1.576581</td>\n",
       "      <td>4.676448</td>\n",
       "      <td>0.257410</td>\n",
       "      <td>0.879298</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.438698</td>\n",
       "      <td>3.497203</td>\n",
       "      <td>7.785133</td>\n",
       "      <td>5.080454</td>\n",
       "      <td>24.794128</td>\n",
       "      <td>5.449103</td>\n",
       "      <td>2.549118</td>\n",
       "      <td>3.177887</td>\n",
       "      <td>19.764970</td>\n",
       "      <td>2.114354</td>\n",
       "      <td>-1.066489</td>\n",
       "      <td>1.575514</td>\n",
       "      <td>-6.215898</td>\n",
       "      <td>2.836487</td>\n",
       "      <td>-1.718565</td>\n",
       "      <td>2.006679</td>\n",
       "      <td>1.899960</td>\n",
       "      <td>8.687480</td>\n",
       "      <td>1.165051</td>\n",
       "      <td>0.827611</td>\n",
       "      <td>1.470758</td>\n",
       "      <td>10.860589</td>\n",
       "      <td>0.591457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3347.441983</td>\n",
       "      <td>4.780070e+03</td>\n",
       "      <td>15.195387</td>\n",
       "      <td>96.684486</td>\n",
       "      <td>10888.868026</td>\n",
       "      <td>0.066368</td>\n",
       "      <td>6.402023</td>\n",
       "      <td>8.586545</td>\n",
       "      <td>3.000347</td>\n",
       "      <td>4.989606</td>\n",
       "      <td>3.401951</td>\n",
       "      <td>21.022188</td>\n",
       "      <td>10.809194</td>\n",
       "      <td>14.398434</td>\n",
       "      <td>2.035710</td>\n",
       "      <td>1.663385</td>\n",
       "      <td>2.745931</td>\n",
       "      <td>1.411727</td>\n",
       "      <td>0.726241</td>\n",
       "      <td>2.172808</td>\n",
       "      <td>0.791469</td>\n",
       "      <td>0.211164</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.610453</td>\n",
       "      <td>1.240508</td>\n",
       "      <td>5.940325</td>\n",
       "      <td>1.250947</td>\n",
       "      <td>6.750380</td>\n",
       "      <td>2.264336</td>\n",
       "      <td>3.618366</td>\n",
       "      <td>1.560360</td>\n",
       "      <td>10.057116</td>\n",
       "      <td>1.200630</td>\n",
       "      <td>1.589143</td>\n",
       "      <td>0.727922</td>\n",
       "      <td>2.392474</td>\n",
       "      <td>1.017116</td>\n",
       "      <td>1.038062</td>\n",
       "      <td>2.748434</td>\n",
       "      <td>0.751494</td>\n",
       "      <td>4.147558</td>\n",
       "      <td>1.727684</td>\n",
       "      <td>2.330526</td>\n",
       "      <td>1.124954</td>\n",
       "      <td>5.341867</td>\n",
       "      <td>0.955349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.029043e+07</td>\n",
       "      <td>-28.864500</td>\n",
       "      <td>-179.859400</td>\n",
       "      <td>3.680000</td>\n",
       "      <td>0.017600</td>\n",
       "      <td>19.860000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1998.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>262.150000</td>\n",
       "      <td>291.640000</td>\n",
       "      <td>294.300000</td>\n",
       "      <td>284.540000</td>\n",
       "      <td>301.250000</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-4.260000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-7.330000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-11.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-18.850000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-7.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3321.000000</td>\n",
       "      <td>1.031112e+07</td>\n",
       "      <td>-8.676000</td>\n",
       "      <td>-32.445100</td>\n",
       "      <td>97.950000</td>\n",
       "      <td>0.040500</td>\n",
       "      <td>47.900000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>298.650000</td>\n",
       "      <td>300.130000</td>\n",
       "      <td>299.950000</td>\n",
       "      <td>295.150000</td>\n",
       "      <td>304.390000</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>-0.220000</td>\n",
       "      <td>0.760000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.640000</td>\n",
       "      <td>2.850000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.130000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.350000</td>\n",
       "      <td>14.540000</td>\n",
       "      <td>1.450000</td>\n",
       "      <td>-1.950000</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>-6.620000</td>\n",
       "      <td>2.310000</td>\n",
       "      <td>-1.860000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.410000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>7.590000</td>\n",
       "      <td>0.330000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5544.000000</td>\n",
       "      <td>1.031464e+07</td>\n",
       "      <td>5.799500</td>\n",
       "      <td>104.507800</td>\n",
       "      <td>253.340000</td>\n",
       "      <td>0.059500</td>\n",
       "      <td>49.880000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>301.040000</td>\n",
       "      <td>301.630000</td>\n",
       "      <td>301.030000</td>\n",
       "      <td>297.170000</td>\n",
       "      <td>305.220000</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.320000</td>\n",
       "      <td>3.180000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>5.090000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>5.620000</td>\n",
       "      <td>1.230000</td>\n",
       "      <td>2.970000</td>\n",
       "      <td>18.160000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>-0.820000</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>-5.580000</td>\n",
       "      <td>2.610000</td>\n",
       "      <td>-1.420000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.710000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.260000</td>\n",
       "      <td>9.640000</td>\n",
       "      <td>0.430000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7307.000000</td>\n",
       "      <td>1.031863e+07</td>\n",
       "      <td>15.978500</td>\n",
       "      <td>123.519400</td>\n",
       "      <td>994.880000</td>\n",
       "      <td>0.084200</td>\n",
       "      <td>54.440000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>33.120000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>302.130000</td>\n",
       "      <td>302.690000</td>\n",
       "      <td>301.820000</td>\n",
       "      <td>297.800000</td>\n",
       "      <td>305.820000</td>\n",
       "      <td>1.760000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.080000</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>6.010000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>6.430000</td>\n",
       "      <td>3.630000</td>\n",
       "      <td>3.550000</td>\n",
       "      <td>22.100000</td>\n",
       "      <td>2.440000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>1.760000</td>\n",
       "      <td>-4.780000</td>\n",
       "      <td>3.090000</td>\n",
       "      <td>-1.110000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.210000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.810000</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>12.680000</td>\n",
       "      <td>0.640000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>15736.000000</td>\n",
       "      <td>1.032207e+07</td>\n",
       "      <td>34.098100</td>\n",
       "      <td>179.929800</td>\n",
       "      <td>150705.930000</td>\n",
       "      <td>1.163500</td>\n",
       "      <td>92.300000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>98.750000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>307.040000</td>\n",
       "      <td>307.050000</td>\n",
       "      <td>303.520000</td>\n",
       "      <td>300.350000</td>\n",
       "      <td>313.140000</td>\n",
       "      <td>5.820000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>4.610000</td>\n",
       "      <td>2.790000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.190000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>14.200000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>38.450000</td>\n",
       "      <td>21.380000</td>\n",
       "      <td>107.220000</td>\n",
       "      <td>13.120000</td>\n",
       "      <td>4.540000</td>\n",
       "      <td>5.820000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.590000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>13.570000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>15.210000</td>\n",
       "      <td>63.470000</td>\n",
       "      <td>12.660000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Site_ID     Sample_ID  Latitude_Degrees  Longitude_Degrees  \\\n",
       "count  22525.000000  2.252500e+04      22525.000000       22525.000000   \n",
       "mean    5446.277248  1.031462e+07          3.900452          61.899487   \n",
       "std     3347.441983  4.780070e+03         15.195387          96.684486   \n",
       "min        4.000000  1.029043e+07        -28.864500        -179.859400   \n",
       "25%     3321.000000  1.031112e+07         -8.676000         -32.445100   \n",
       "50%     5544.000000  1.031464e+07          5.799500         104.507800   \n",
       "75%     7307.000000  1.031863e+07         15.978500         123.519400   \n",
       "max    15736.000000  1.032207e+07         34.098100         179.929800   \n",
       "\n",
       "       Distance_to_Shore     Turbidity  Cyclone_Frequency      Date_Day  \\\n",
       "count       22525.000000  22525.000000       22525.000000  22525.000000   \n",
       "mean         2832.318038      0.078797          51.193801     16.104417   \n",
       "std         10888.868026      0.066368           6.402023      8.586545   \n",
       "min             3.680000      0.017600          19.860000      1.000000   \n",
       "25%            97.950000      0.040500          47.900000      9.000000   \n",
       "50%           253.340000      0.059500          49.880000     16.000000   \n",
       "75%           994.880000      0.084200          54.440000     23.000000   \n",
       "max        150705.930000      1.163500          92.300000     31.000000   \n",
       "\n",
       "         Date_Month     Date_Year       Depth_m  Percent_Cover  \\\n",
       "count  22525.000000  22525.000000  22525.000000   22525.000000   \n",
       "mean       6.835694   2010.815627      6.505594      19.671852   \n",
       "std        3.000347      4.989606      3.401951      21.022188   \n",
       "min        1.000000   1998.000000      0.100000       0.000000   \n",
       "25%        4.000000   2006.000000      4.000000       1.250000   \n",
       "50%        7.000000   2011.000000      6.000000      12.500000   \n",
       "75%        9.000000   2015.000000     10.000000      33.120000   \n",
       "max       12.000000   2019.000000     23.000000      98.750000   \n",
       "\n",
       "       Percent_Bleaching       ClimSST  Temperature_Kelvin  Temperature_Mean  \\\n",
       "count       22525.000000  22525.000000        22525.000000      22525.000000   \n",
       "mean            3.049933    294.730906          301.261872        300.599256   \n",
       "std            10.809194     14.398434            2.035710          1.663385   \n",
       "min             0.000000    262.150000          291.640000        294.300000   \n",
       "25%             0.000000    298.650000          300.130000        299.950000   \n",
       "50%             0.000000    301.040000          301.630000        301.030000   \n",
       "75%             0.750000    302.130000          302.690000        301.820000   \n",
       "max           100.000000    307.040000          307.050000        303.520000   \n",
       "\n",
       "       Temperature_Minimum  Temperature_Maximum  \\\n",
       "count         22525.000000         22525.000000   \n",
       "mean            296.101154           305.175473   \n",
       "std               2.745931             1.411727   \n",
       "min             284.540000           301.250000   \n",
       "25%             295.150000           304.390000   \n",
       "50%             297.170000           305.220000   \n",
       "75%             297.800000           305.820000   \n",
       "max             300.350000           313.140000   \n",
       "\n",
       "       Temperature_Kelvin_Standard_Deviation     Windspeed          SSTA  \\\n",
       "count                           22525.000000  22525.000000  22525.000000   \n",
       "mean                                1.576581      4.676448      0.257410   \n",
       "std                                 0.726241      2.172808      0.791469   \n",
       "min                                 0.790000      0.000000     -4.260000   \n",
       "25%                                 1.150000      3.000000     -0.220000   \n",
       "50%                                 1.300000      5.000000      0.250000   \n",
       "75%                                 1.760000      6.000000      0.740000   \n",
       "max                                 5.820000     14.000000      4.610000   \n",
       "\n",
       "       SSTA_Standard_Deviation  SSTA_Mean  SSTA_Minimum  SSTA_Maximum  \\\n",
       "count             22525.000000    22525.0  22525.000000  22525.000000   \n",
       "mean                  0.879298        0.0     -3.438698      3.497203   \n",
       "std                   0.211164        0.0      0.610453      1.240508   \n",
       "min                   0.000000        0.0     -7.330000      0.000000   \n",
       "25%                   0.760000        0.0     -3.640000      2.850000   \n",
       "50%                   0.860000        0.0     -3.320000      3.180000   \n",
       "75%                   0.940000        0.0     -3.080000      3.700000   \n",
       "max                   2.790000        0.0      0.000000     13.190000   \n",
       "\n",
       "       SSTA_Frequency  SSTA_Frequency_Standard_Deviation  SSTA_FrequencyMax  \\\n",
       "count    22525.000000                       22525.000000       22525.000000   \n",
       "mean         7.785133                           5.080454          24.794128   \n",
       "std          5.940325                           1.250947           6.750380   \n",
       "min          0.000000                           0.000000           0.000000   \n",
       "25%          3.000000                           4.130000          20.000000   \n",
       "50%          7.000000                           5.090000          25.000000   \n",
       "75%         11.000000                           6.010000          30.000000   \n",
       "max         36.000000                          14.200000          52.000000   \n",
       "\n",
       "       SSTA_FrequencyMean      SSTA_DHW  SSTA_DHW_Standard_Deviation  \\\n",
       "count        22525.000000  22525.000000                 22525.000000   \n",
       "mean             5.449103      2.549118                     3.177887   \n",
       "std              2.264336      3.618366                     1.560360   \n",
       "min              0.000000      0.000000                     0.000000   \n",
       "25%              4.000000      0.000000                     2.350000   \n",
       "50%              5.620000      1.230000                     2.970000   \n",
       "75%              6.430000      3.630000                     3.550000   \n",
       "max             21.000000     38.450000                    21.380000   \n",
       "\n",
       "        SSTA_DHWMax  SSTA_DHWMean           TSA  TSA_Standard_Deviation  \\\n",
       "count  22525.000000  22525.000000  22525.000000            22525.000000   \n",
       "mean      19.764970      2.114354     -1.066489                1.575514   \n",
       "std       10.057116      1.200630      1.589143                0.727922   \n",
       "min        0.000000      0.000000    -11.040000                0.000000   \n",
       "25%       14.540000      1.450000     -1.950000                1.150000   \n",
       "50%       18.160000      2.030000     -0.820000                1.300000   \n",
       "75%       22.100000      2.440000      0.020000                1.760000   \n",
       "max      107.220000     13.120000      4.540000                5.820000   \n",
       "\n",
       "        TSA_Minimum   TSA_Maximum      TSA_Mean  TSA_Frequency  \\\n",
       "count  22525.000000  22525.000000  22525.000000   22525.000000   \n",
       "mean      -6.215898      2.836487     -1.718565       2.006679   \n",
       "std        2.392474      1.017116      1.038062       2.748434   \n",
       "min      -18.850000      0.000000     -7.460000       0.000000   \n",
       "25%       -6.620000      2.310000     -1.860000       0.000000   \n",
       "50%       -5.580000      2.610000     -1.420000       1.000000   \n",
       "75%       -4.780000      3.090000     -1.110000       3.000000   \n",
       "max        0.000000     10.590000      0.000000      25.000000   \n",
       "\n",
       "       TSA_Frequency_Standard_Deviation  TSA_FrequencyMax  TSA_FrequencyMean  \\\n",
       "count                      22525.000000      22525.000000       22525.000000   \n",
       "mean                           1.899960          8.687480           1.165051   \n",
       "std                            0.751494          4.147558           1.727684   \n",
       "min                            0.000000          0.000000           0.000000   \n",
       "25%                            1.410000          6.000000           1.000000   \n",
       "50%                            1.710000          8.000000           1.000000   \n",
       "75%                            2.210000         10.000000           1.000000   \n",
       "max                           13.570000         52.000000          20.000000   \n",
       "\n",
       "            TSA_DHW  TSA_DHW_Standard_Deviation    TSA_DHWMax   TSA_DHWMean  \n",
       "count  22525.000000                22525.000000  22525.000000  22525.000000  \n",
       "mean       0.827611                    1.470758     10.860589      0.591457  \n",
       "std        2.330526                    1.124954      5.341867      0.955349  \n",
       "min        0.000000                    0.000000      0.000000      0.000000  \n",
       "25%        0.000000                    1.010000      7.590000      0.330000  \n",
       "50%        0.000000                    1.260000      9.640000      0.430000  \n",
       "75%        0.810000                    1.700000     12.680000      0.640000  \n",
       "max       37.680000                   15.210000     63.470000     12.660000  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "#pd.set_option('display.max_rows', None)\n",
    "reefs_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2880x1800 with 49 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "reefs_data.hist(bins=50, figsize=(40, 25))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import test\n",
    "from sklearn.model_selection import train_test_split\n",
    "#split DataFrame into 2 sets\n",
    "train_set, test_set = train_test_split(reefs_data, test_size=0.2, random_state=42)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rjV9fo/y8l8t1ntbf3z8UEb3V5jX92zsREZJqv3PUv77NwGaA3t7e6Ovra3hdg4ODNLN8q7jOia1tYHjm1iWn+Ny+0y/tQzf2Nb3OSuPX1yg/7+VynfVp9Oydo2nYhnR9LLWPAAsq+s1PbRO1m5lZCzUa+tuAsTNw1gCPVrR/LJ3FcyVwMiKOAI8D10iakw7gXpPazMyshWoO70h6kGJM/kJJhynOwtkEPCTpZuAHwEdT9x3A9cAw8CrwcYCIOC7pLmBP6veZsYO6ZmbWOvWcvXPDBLOurtI3gPUTrGcrsHVK1ZmZWan8jVwzs4w49M3MMuLQNzPLiEPfzCwjDn0zs4w0/Y1cszL5B9LMppf39M3MMuLQNzPLiEPfzCwjDn0zs4z4QK6Vyv9wxKyzeU/fzCwjDn0zs4x4eMdmPJ/7b3aa9/TNzDLiPX2zJvngtb2VeE/fzCwjDn0zs4w49M3MMuLQNzPLiEPfzCwjTYW+pEOS9knaK+mZ1HaBpJ2SXkzXc1K7JH1B0rCk5yRdUcYGmJlZ/crY0++PiKUR0ZumNwK7ImIxsCtNA1wHLE6XdcD9Jdy3mZlNwXScp78K6Eu3HwAGgdtS+5ciIoAnJXVLmhsRR6ahBusQPofdrLOoyOAGF5ZeBk4AAfxlRGyW9EpEdKf5Ak5ERLek7cCmiHgizdsF3BYRz4xb5zqKTwL09PQsGxgYaLi+0dFRurq6Gl6+VWZSnftGTk46f8m82U0tX4+e8+Doa02vZkLjt2F8zfVu41idtfq320x6fXaCVtTZ398/VDH6coZm9/TfHxEjkn4R2Cnp+5UzIyIkTeldJSI2A5sBent7o6+vr+HiBgcHaWb5VplJda6t8Ts3h25sbvl63LrkFJ/bN31fNh+/DeNrrncbx+qs1b/dZtLrsxO0u86mxvQjYiRdHwO+BiwHjkqaC5Cuj6XuI8CCisXnpzYzM2uRhneHJJ0PvC0ifpZuXwN8BtgGrAE2petH0yLbgA2SBoAVwEmP59tM5OMY1sma+QzcA3ytGLbnLODvIuIbkvYAD0m6GfgB8NHUfwdwPTAMvAp8vIn7NjOzBjQc+hHxEnBZlfafAFdXaQ9gfaP3Z2ZmzfNPK5tNkf8pi72V+WcYzMwy4tA3M8uIh3fMppmHg6yTeE/fzCwj3tO3tvJesFlreU/fzCwjDn0zs4x4eMdaysM5Zu3l0DfrMP7tHptODn1rivfczd5aHPo2JQ55s7c2H8g1M8uIQ9/MLCMe3jFrs2aHzHzg16bCe/pmZhnxnr7ZDOM9f5uMQ98mVRkgty45hV8y7eczqKwZ/gu2MzhQzGY2h/4M54/6ZlbJoZ8579mb5cVn75iZZaTle/qSVgJ/BswC/joiNrW6BrO3knZ8Ght/AL9vkvnw74cNPaw4da16zFoa+pJmAfcBHwAOA3skbYuI51tZR6cYe5JvXXKKtRsfq/kk1/OiqBUQHs7JTz3P+VRfe9PNbxrTp9V7+suB4Yh4CUDSALAKmJbQ3zdykrUVL56yXzhTfWGW/YfjALeylP2t4Frza30yaNZ0vGnMlDciRUTr7kz6MLAyIj6Rpm8CVkTEhoo+64B1afJdwAtN3OWFwI+bWL5VXGe5XGe5XGe5WlHnr0TERdVmdNzZOxGxGdhcxrokPRMRvWWsazq5znK5znK5znK1u85Wn70zAiyomJ6f2szMrAVaHfp7gMWSFkl6O7Aa2NbiGszMstXS4Z2IOCVpA/A4xSmbWyPiwDTeZSnDRC3gOsvlOsvlOsvV1jpbeiDXzMzay9/INTPLiEPfzCwjMyb0JS2QtFvS85IOSLoltV8gaaekF9P1nDbXea6kpyU9m+r8dGpfJOkpScOS/j4d6G4rSbMkfU/S9k6tEUDSIUn7JO2V9Exq66jnPdXULelhSd+XdFDSezutTknvSo/j2OWnkj7ZaXWmWv9L+hvaL+nB9LfVca9RSbekGg9I+mRqa9vjOWNCHzgF3BoRlwBXAuslXQJsBHZFxGJgV5pup9eBqyLiMmApsFLSlcCfAPdGxMXACeDm9pX4pluAgxXTnVjjmP6IWFpx/nOnPe9Q/ObUNyLi3cBlFI9tR9UZES+kx3EpsAx4FfgaHVanpHnAfwZ6I+JSihNDVtNhr1FJlwK/S/FrBJcBvynpYtr5eEbEjLwAj1L8xs8LwNzUNhd4od21VdT4DuC7wAqKb+idldrfCzze5trmpxfjVcB2QJ1WY0Wth4ALx7V11PMOzAZeJp080al1jqvtGuCfOrFOYB7wI+ACirMQtwPXdtprFPgIsKVi+g7gv7Xz8ZxJe/pvkrQQuBx4CuiJiCNp1r8APe2qa0waNtkLHAN2Av8MvBIRp1KXwxQv6nb6nxQvzv+Xpt9J59U4JoBvShpKP+MBnfe8LwL+FfibNGT215LOp/PqrLQaeDDd7qg6I2IEuAf4IXAEOAkM0Xmv0f3Ar0t6p6R3ANdTfEG1bY/njAt9SV3AV4FPRsRPK+dF8bba9nNUI+KNKD4+z6f42Pfu9lZ0Jkm/CRyLiKF211Kn90fEFcB1FMN6v1E5s0Oe97OAK4D7I+Jy4OeM+0jfIXUCkMbCfwv4h/HzOqHONAa+iuLN9JeA84GV7aypmog4SDHk9E3gG8Be4I1xfVr6eM6o0Jd0NkXgfyUiHknNRyXNTfPnUuxdd4SIeAXYTfExtFvS2Jfl2v3zFO8DfkvSIWCAYojnz+isGt+U9vqIiGMU48/L6bzn/TBwOCKeStMPU7wJdFqdY64DvhsRR9N0p9X5H4GXI+JfI+LfgEcoXrcd9xqNiC0RsSwifoPiOMP/oY2P54wJfUkCtgAHI+LzFbO2AWvS7TUUY/1tI+kiSd3p9nkUxx0OUoT/h1O3ttYZEbdHxPyIWEjxEf/bEXEjHVTjGEnnS/qFsdsU49D76bDnPSL+BfiRpHelpqspflK8o+qscAOnh3ag8+r8IXClpHekv/2xx7MTX6O/mK5/GfhPwN/RzseznQc5Sj5g8n6Kj0jPUXyE2ksxfvZOigOSLwLfAi5oc52/Bnwv1bkf+KPU/qvA08AwxUfqc9r9mKa6+oDtnVpjqunZdDkA/PfU3lHPe6ppKfBMeu7/EZjToXWeD/wEmF3R1ol1fhr4fvo7+lvgnA59jf5vijekZ4Gr2/14+mcYzMwyMmOGd8zMrDaHvplZRhz6ZmYZceibmWXEoW9mlhGHvplZRhz6ZmYZ+f/a7/15peV3iAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "reefs_data['Cyclone_Frequency'].hist(bins=75)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "reefs_data['Temperature_Kelvin'].hist(bins=75)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(32420.8125, 17461.1123046875)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "df_size = sys.getsizeof(reefs_data)/1024\n",
    "file_size = os.path.getsize('data/global_bleaching_environmental-kopia.csv')/1024\n",
    "df_size, file_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index                  175.976562\n",
       "Site_ID                175.976562\n",
       "Sample_ID              175.976562\n",
       "Data_Source           1473.803711\n",
       "Latitude_Degrees       175.976562\n",
       "                         ...     \n",
       "TSA_DHWMean            175.976562\n",
       "Date                  1473.803711\n",
       "Site_Comments         1409.390625\n",
       "Sample_Comments       1408.489258\n",
       "Bleaching_Comments    1407.812500\n",
       "Length: 63, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reefs_data.memory_usage(index=True, deep=True)/1024"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Australia', 'Antigua and Barbuda', 'Bahamas', 'Barbados',\n",
       "       'Belize', 'Brazil', 'United Kingdom', 'Brunei', 'Cambodia',\n",
       "       'China', 'Colombia',\n",
       "       'Commonwealth of the Northern Mariana Islands', 'Costa Rica',\n",
       "       'Cuba', 'Djibouti', 'Dominica', 'Dominican Republic', 'East Timor',\n",
       "       'Egypt', 'Federated States of Micronesia', 'Fiji', 'France',\n",
       "       'French Polynesia', 'Grenada', 'Guatemala', 'Haiti', 'Honduras',\n",
       "       'Indonesia', 'Iran', 'Jamaica', 'Japan', 'Jordan', 'Kenya',\n",
       "       'Kiribati', 'Madagascar', 'Malaysia', 'Maldives', 'Mauritius',\n",
       "       'Mexico', 'Montserrat', 'Mozambique', 'Myanmar',\n",
       "       'Netherlands Antilles', 'New Caledonia', 'Oman', 'Palau', 'Panama',\n",
       "       'Papua New Guinea', 'Philippines', 'United States',\n",
       "       'Saint Kitts and Nevis', 'Saint Lucia',\n",
       "       'Saint Vincent and the Grenadines', 'Sao Tome & Principe',\n",
       "       'Saudi Arabia', 'Solomon Islands', 'Sri Lanka', 'Sudan', 'Taiwan',\n",
       "       'Tanzania', 'Thailand', 'Trinidad and Tobago', 'Turks and Caicos',\n",
       "       'United Arab Emirates', 'Vanuatu', 'Vietnam', 'Yemen',\n",
       "       'Cook Islands', 'Marshall Islands', 'Martinique', 'Kuwait',\n",
       "       'South Africa', 'India', 'Tonga', 'Bangladesh', 'Venezuela'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reefs_data['Country_Name'].unique()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country_Name\n",
       "Antigua and Barbuda                                6\n",
       "Australia                                       1704\n",
       "Bahamas                                          130\n",
       "Bangladesh                                         4\n",
       "Barbados                                          38\n",
       "Belize                                           268\n",
       "Brazil                                           294\n",
       "Brunei                                           102\n",
       "Cambodia                                         188\n",
       "China                                            654\n",
       "Colombia                                          58\n",
       "Commonwealth of the Northern Mariana Islands       2\n",
       "Cook Islands                                      38\n",
       "Costa Rica                                        32\n",
       "Cuba                                              50\n",
       "Djibouti                                          52\n",
       "Dominica                                          66\n",
       "Dominican Republic                               242\n",
       "East Timor                                        34\n",
       "Egypt                                            920\n",
       "Federated States of Micronesia                   144\n",
       "Fiji                                             931\n",
       "France                                           573\n",
       "French Polynesia                                1306\n",
       "Grenada                                           58\n",
       "Guatemala                                          8\n",
       "Haiti                                            168\n",
       "Honduras                                         470\n",
       "India                                             37\n",
       "Indonesia                                       1693\n",
       "Iran                                              32\n",
       "Jamaica                                          738\n",
       "Japan                                            292\n",
       "Jordan                                            12\n",
       "Kenya                                             36\n",
       "Kiribati                                           4\n",
       "Kuwait                                             4\n",
       "Madagascar                                       131\n",
       "Malaysia                                        4188\n",
       "Maldives                                         571\n",
       "Marshall Islands                                  24\n",
       "Martinique                                        12\n",
       "Mauritius                                         14\n",
       "Mexico                                            94\n",
       "Montserrat                                        24\n",
       "Mozambique                                         2\n",
       "Myanmar                                           52\n",
       "Netherlands Antilles                             358\n",
       "New Caledonia                                    400\n",
       "Oman                                             284\n",
       "Palau                                             24\n",
       "Panama                                            14\n",
       "Papua New Guinea                                  94\n",
       "Philippines                                     1690\n",
       "Saint Kitts and Nevis                             44\n",
       "Saint Lucia                                      140\n",
       "Saint Vincent and the Grenadines                  40\n",
       "Sao Tome & Principe                               36\n",
       "Saudi Arabia                                      32\n",
       "Solomon Islands                                  320\n",
       "South Africa                                       6\n",
       "Sri Lanka                                         10\n",
       "Sudan                                             38\n",
       "Taiwan                                           534\n",
       "Tanzania                                          79\n",
       "Thailand                                         438\n",
       "Tonga                                              2\n",
       "Trinidad and Tobago                              168\n",
       "Turks and Caicos                                  98\n",
       "United Arab Emirates                              38\n",
       "United Kingdom                                   150\n",
       "United States                                    370\n",
       "Vanuatu                                          124\n",
       "Venezuela                                          2\n",
       "Vietnam                                          460\n",
       "Yemen                                             32\n",
       "Name: Site_ID, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#pd.set_option('display.max_rows', None)\n",
    "countries = reefs_data.groupby(by='Country_Name')\n",
    "countries['Site_ID'].count()"
   ]
  }
 ],
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